scholarly journals Acceptance and Use of Mobile Technology for Health Self-Monitoring in Lung Transplant Recipients during the First Year Post-Transplantation

2016 ◽  
Vol 07 (02) ◽  
pp. 430-445 ◽  
Author(s):  
Susan Sereika ◽  
Annette DeVito Dabbs ◽  
Steven Handler ◽  
Elizabeth Schlenk ◽  
Yun Jiang

SummaryTo describe lung transplant recipients (LTRs’) acceptance and use of mobile technology for health self-monitoring during the first year post-transplantation, and explore correlates of the use of technology in the 0 to 2, >2 to ≤6, >6 to ≤12, and 0 to 12 months.Secondary analysis of data from 96 LTR assigned to use Pocket PATH®, a smartphone application, for daily health self-monitoring in a randomized controlled trial. Use of Pocket PATH was categorized as low, moderate, and high use. Proportional odds models for ordinal logistic regression were employed to explore correlates of use of technology.LTR reported high acceptance of Pocket PATH at baseline. However, acceptance was not associated with actual use over the 12 months (p=0.45∼0.96). Actual use decreased across time intervals (p<0.001). Increased self-care agency was associated with the increased odds of higher use in women (p=0.03) and those less satisfied with technology training (p=0.02) in the first 2 months. Higher use from >2 to ≤6 months was associated with greater satisfaction with technology training (OR=3.37, p=0.01) and shorter length of hospital stay (OR=0.98, p=0.02). Higher use from >6 to ≤12 months was associated with older age (OR=1.05, p=0.02), lower psychological distress (OR=0.43, p=0.02), and better physical functioning (OR=1.09, p=0.01). Higher use over 12 months was also associated with older age (OR=1.05, p=0.007), better physical functioning (OR=1.13, p=0.001), and greater satisfaction with technology training (OR=3.05, p=0.02).Correlates were different for short- and long-term use of mobile technology for health self-monitoring in the first year post-transplantation. It is important to follow up with LTR with longer hospital stay, poor physical functioning, and psychological distress, providing ongoing education to improve their long-term use of technology for health self-monitoring.Citation: Jiang Y, Sereika SM, DeVito Dabbs A, Handler SM, Schlenk EA. Acceptance and use of mobile technology for health self-monitoring in lung transplant recipients during the first year post-transplantation.

2010 ◽  
Vol 29 (2) ◽  
pp. S139-S140
Author(s):  
J.L. McMillan ◽  
P.M.A. Hopkins ◽  
S.T. Yerkovich ◽  
K.M. Herd ◽  
D.C. Chambers

2021 ◽  
Vol 22 (15) ◽  
pp. 8206
Author(s):  
Simone Eberhard ◽  
Hannes Vietzen ◽  
Irene Görzer ◽  
Peter Jaksch ◽  
Elisabeth Puchhammer-Stöckl

Human Cytomegalovirus (HCMV) may cause severe infections in transplant recipients. HCMV-replication can be limited by HCMV-specific antibody responses. The impact of the antibody-dependent cellular phagocytosis (ADCP) on inhibition of HCMV-replication in natural infections has not been clarified. Therefore, we investigated the HCMV-specific ADCP response in a study cohort of lung-transplant recipients (LTRs) with different donor (D) and recipient (R) HCMV-serostatus. Follow-up plasma samples from 39 non/low-viremic and 36 highly viremic (>1000 HCMV copies/mL plasma) LTRs were collected for one (R+ LTRs) or two (D+/R− LTRs) years post-transplantation. The HCMV-specific ADCP responses were assessed by focal expansion assays (FEA) and flow-cytometry. In all LTRs, ADCP responses were detected against HCMV-infected cells and cell-free virions. When measured in fibroblasts as well as with cell-free virus, the HCMV-specific ADPC response was higher in LTRs than in HCMV-seropositive healthy controls. In D+/R− LTRs, a significant ADCP response developed over time after the receipt of an HCMV positive lung, and a level of <19 IE+ cells/focus in the FEA on fibroblasts was associated with further protection from high-level viremia. Taken together, a strong HCMV-specific ADCP response is elicited in transplant recipients, which may contribute to protection from high-level viremia in primary HCMV infection.


2017 ◽  
Vol 31 (8) ◽  
pp. e13014 ◽  
Author(s):  
Lu Hu ◽  
Annette DeVito Dabbs ◽  
Mary Amanda Dew ◽  
Susan M. Sereika ◽  
Jennifer H. Lingler

2020 ◽  
Author(s):  
L. Zaffiri ◽  
A. Long ◽  
M.L. Neely ◽  
W. Cherikh ◽  
D.C. Chambers ◽  
...  

ABSTRACTBackgroundPost-transplant lymphoproliferative disorder (PTLD) is a life-threatening complication following lung transplant. We aimed to study the incidence of and risk factors for PTLD in adult lung transplant recipients.MethodsThe International Society of Heart and Lung Transplant (ISHLT) Registry was used to identify adult, first-time, single and bilateral lung transplant recipients with at least one year follow-up and from centers reporting PTLD between January 2006 and June 2015. Kaplan Meier method was used to describe timing and distribution of PTLD. Univariable and multivariable Cox proportional hazards regression models were used to examine the clinical characteristics associated with PTLD.ResultsOf the 19,309 lung transplant recipients in the analysis cohort, we identified 454 cases of PTLD. Cumulative incidence of PTLD was 1.1% (95% CI = 1.0%, 1.3%) at 1 year and 4.1% (95% CI= 3.6%, 4.6%) at 10-years. We observed that 47.4% of all PTLD cases occurred within the first year following lung transplantation. In the multivariable model, independent risk factors for PTLD included age, EBV mismatch and native lung diseases. The risk of PTLD during the first year after transplant increased with increasing age in patients between 45 to 62 years at time of transplantation; the inverse was true for ages less than 45 year or greater than 62 years. Finally, receiving a donor organ with human leukocyte antigen (HLA) types A1 and A24 was associated with an increased risk of PTLD while the recipient HLA type DR11 was associated with a decreased risk.ConclusionsOur study indicates that PTLD is a relatively rare complication among adult lung transplant recipients. We identified clinical characteristics that are associated with increased risk of PTLD.


2017 ◽  
Vol 31 (3) ◽  
pp. e12897 ◽  
Author(s):  
Van Hoang ◽  
Gloria W. Li ◽  
Christina C. Kao ◽  
Goutham Dronavalli ◽  
Amit D. Parulekar

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